Program Overview

Introduction to the Certificat Data Science & AI for Business Program

The Certificat Data Science & AI for Business is a comprehensive program designed for managers and leaders seeking to develop their understanding of data science and artificial intelligence (AI) to integrate these technologies into their business strategies. This program is offered in partnership with SKEMA Business School and Mines ParisTech, combining the expertise of both institutions to provide a unique learning experience.

Program Objectives

The primary objectives of the Certificat Data Science & AI for Business program are:

1. To appropriate data science and AI, identifying new challenges and opportunities they present.
2. To make business decisions and create value using AI, with hands-on experience through selected applications.
3. To build collective intelligence based on AI to serve business strategy.
4. To understand cybersecurity and ethical issues surrounding AI.

Program Structure

The program is structured around five modules, representing the equivalent of three days of learning time. A session is proposed each semester, allowing participants to follow the 100% distance learning path.

Module 1: Introduction to Data Science and AI

• Introduces fundamental principles of data science and AI.
• Covers key concepts, vocabulary, and new skill needs and jobs related to these disciplines.

Module 2: Discovering Business Opportunities with AI

• Explores success stories of companies that have leveraged AI for development.
• Participants learn why AI represents a business opportunity and how to create value within their enterprise using AI.
• Hands-on experience with an AI tool selected by SKEMA's research center in Montreal.

Module 3: Taking Control of an AI Tool

• Participants use a data mining tool to identify opportunities from business case studies adapted to their industry.
• Choose from three applications: Supply Chain (predictive maintenance), Finance (language analysis), or Marketing (image recognition).

Module 4: Managing Change and Human Resources

• Integrating and retaining data specialists within teams.
• Discusses recruitment, management, and giving meaning to their work.
• Covers key steps in a data transformation project.

Module 5: Cybersecurity, Green IT, Ethics, and Digital Law

• Understanding how to protect data and manage piracy risks.
• Analyzes ethical issues through an international and local paradigm.
• Introduction to Green IT.

Target Audience and Prerequisites

The program is designed for managers and leaders wishing to develop their culture around data science and AI to integrate it into their business strategy. There are no specific prerequisites for this program.

Pedagogical Organization

The program is composed of e-learnings (asynchronous format) and virtual classes (synchronous format) led by expert instructors. Participants can choose from three applications based on their professional domain.

Evaluation Method

Participant achievement of the program's objectives is observed through attendance at all five modules and their effective participation and understanding of the chosen application.

Certification

The program is sanctioned by the delivery of the "Introduire l'intelligence artificielle pour optimiser l'activité et certaines tâches au sein d'une organisation, dans le respect des réglementations en vigueur" certification by Skema Business School, registered in the Répertoire spécifique de France Compétences under the reference RS 7029.

Program Details

• Duration: 3 days (equivalent to 3 days of learning time)
• Fee: 3,950 HT (excluding taxes)
• Dates: From March 10 to May 22, 2026

Testimonials

Participants from previous sessions have praised the program for transforming their approach to projects and enhancing their credibility in managing data science and AI integration within their organizations.

Pedagogical Team

The program is led by a team of experts, including Amandine Prou, Alain Bensoussan, Mickael Nunes, Maxime Blondeau, and Fabien Moutarde, each bringing their unique expertise in data science, AI, law, ecology, and robotics.

Quality Certification

The program has received a quality certification for its category of action, ensuring a high standard of education and training.